Determining the credit of a person is a standard financial operation.
Many systems and methods have been implemented to determine if a person is likely to pay back a loan or if they are capable of owning a credit card. The problem with these methodologies is that they are based on general models and theories that may not closely match the reality of a specific financial institution.
For example, our customer provides loans to small businesses. Standard loan evaluation methodologies do not apply. Therefore they needed a custom, predictive engine that would help quickly determine the credit worthiness of an individual. This can be achieved in two ways:
- Predict the type of customer: A++, A+, A, B,C,D
- Predict the number of times an operator would have to call the customer in order to collect payments.
simMachines provided the two solutions in less than two weeks and therefore the customer decided to use our services.